Table 3 Logistic regression coefficients for the risk model built with the datasets from different cities
From: A data-driven approach for assessing biking safety in cities
Variable | London | Boston | Pittsburgh |
|---|---|---|---|
(Intercept) | 4.372∗∗∗ | 4.840∗∗∗ | 2.979∗∗∗ |
speed-limit | 11.071∗∗∗ | 6.228∗∗∗ | 12.332∗∗∗ |
Street width | 8.937∗∗ | 3.827∗ | 6.382∗∗∗ |
betweenness | 5.093∗∗∗ | 4.827∗∗∗ | 3.082∗∗ |
dist-intersect | −6.978∗∗∗ | −4.280∗∗ | −3.829∗∗ |
(hilliness) hilly | 7.832∗∗∗ | 7.374∗∗ | 10.736∗∗∗ |
(topology) curved | 12.932∗∗∗ | 6.482∗∗∗ | 3.278∗∗∗ |
(bikelane) with | −14.891∗∗∗ | −18.349∗∗∗ | −11.272∗∗∗ |
Interaction terms | |||
speed-limit. betweenness | 11.742∗∗ | 4.729∗∗ | 3.952∗ |
speed-limit. (bikelane) with | −21.922∗∗∗ | −23.749∗∗∗ | −23.739∗∗∗ |
speed-limit. dist-intersect | 4.281 | 4.839 | 3.398∗ |